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张广军, 冷孝宇, 吴林. 弧焊机器人结构光视觉传感焊缝跟踪[J]. 焊接学报, 2008, (9): 8-10.
引用本文: 张广军, 冷孝宇, 吴林. 弧焊机器人结构光视觉传感焊缝跟踪[J]. 焊接学报, 2008, (9): 8-10.
ZHANG Guangjun, LENG Xiaoyu, WU Lin. Robotic welding seamtracing systembased on structure light vision sensor[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (9): 8-10.
Citation: ZHANG Guangjun, LENG Xiaoyu, WU Lin. Robotic welding seamtracing systembased on structure light vision sensor[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (9): 8-10.

弧焊机器人结构光视觉传感焊缝跟踪

Robotic welding seamtracing systembased on structure light vision sensor

  • 摘要: 建立了弧焊机器人视觉传感焊缝跟踪系统,重点研究了跟踪路径提取算法和焊缝跟踪的实现策略。采用传感器引导机器人运动的控制方式,为克服前视距离的影响,提取的焊缝跟踪点信息在跟踪过程中不是立刻被使用的,而是存储在循环队列结构中,要等到焊枪到达该点附近时才能用到。计算出的机器人驱动向量使焊枪向焊缝的中心点方向调整,并按照给定的步长运动,使其始终沿焊缝方向向前运动,实现沿焊缝的自主跟踪。结果表明,通过对焊枪位置及绕焊枪旋转角度的调节,实现了S形曲线焊缝的实际跟踪,跟踪过程平稳、精确。

     

    Abstract: A structured-light visual sensing system for seam tracing was built on the arc welding robot, the extract arithmetic of trace path and the realization strategy for seam tracing were mainly researched.The control mode was adopted that sensor guided robot movement.In order to overcome the effect by look-ahead distance, the extracted tracing points were not used immediately, but stored in the circle queue, and they would be used when welding torch was nearby.The calculated driving vector made the welding torch move to the centre point of the welding seam.The torch would move forward at the given step length along the seam all the time, so the autonomous trace was implemented.The validating experiment on tracing S-curve seams by adjusting position and angle of torch proved that the developed system is robust, and the tracing process is stable and accurate.

     

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